178 parallel-computing-numerical-methods-"Simons-Foundation" positions at Nature Careers in Germany
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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cutting-edge experimental or computational methods to investigate complex molecular processes underlying phenotypic changes. Research areas include (but are not limited to): Large-scale genome engineering
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to molecular mechanism. New experimental and computational methods, including data and deep-learning driven approaches to study complex biological processes in the context of cells, organisms, communities and
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are seeking to appoint an internationally highly visible researcher engaged in the field of Physical Chemistry of Molecular Systems with a focus on Experimental Method Development. The scientific activities
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molecular biology, train scientists and students at all levels, provide essential services to both public and private sectors, develop innovative technologies and methods, and foster active technology
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social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly
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Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
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of interest include, but are not limited to: AI methods that meet the complexity of living systems, high-dimensional machine learning for biology, statistical machine learning, AI‑driven laboratory automation
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essential for numerous projects in particle and astroparticle physics at KIT, particularly for the Karlsruhe Tritium Neutrino Experiment (KATRIN). The Tritium Laboratory is also indispensable for KIT's fusion
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand